ICML 2024 "explainable machine learning" Papers

3 papers found

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Explaining Probabilistic Models with Distributional Values

Luca Franceschi, Michele Donini, Cedric Archambeau et al.

ICML 2024spotlightarXiv:2402.09947

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation

Xuexin Chen, Ruichu Cai, Zhengting Huang et al.

ICML 2024posterarXiv:2402.08845

TVE: Learning Meta-attribution for Transferable Vision Explainer

Guanchu (Gary) Wang, Yu-Neng Chuang, Fan Yang et al.

ICML 2024poster